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Abstract #0939

Self-calibrating Wave-encoded 3D Turbo Spin Echo Imaging using Subspace Model based Autofocus

Zechen Zhou1, Chun Yuan2,3, and Peter Börnert4

1Philips Research North America, Cambridge, MA, United States, 2Vascular Imaging Lab, Department of Radiology, University of Washington, Seattle, WA, United States, 3Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 4Philips Research Hamburg, Hamburg, Germany

Wave-encoding techniques can better utilize the three-dimensional (3D) encoding power of parallel imaging (PI) during acquisition and image reconstruction, but proper calibration of wave point spread function (PSF) and coil sensitivities are required. In this study, a self-calibrating wave PSF and PI kernel approach from subsampled wave-encoded k-space is proposed using subspace model based autofocus estimation. Its performance is evaluated for 3D wave encoded turbo spin echo (TSE) imaging. The preliminary results on phantom has demonstrated the calibration accuracy of self-calibrated wave PSF and improved PI performance in comparison to Cartesian based PI for 3D TSE imaging.

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